Who developed Qielbas Tiny 9M M2 and how large is it?

Qielbas Tiny 9M M2 is developed by dawidkielbasa, a model with 9m parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qielbas Tiny 9M M2?

Qielbas Tiny 9M M2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qielbas Tiny 9M M2 by dawidkielbasa

Name: Qielbas Tiny 9M M2
Author: dawidkielbasa

Qielbas Tiny 9M M2 is an open-source language model by dawidkielbasa. Features: 9m LLM, LLM Explorer Score: 0.29.

Dataset:allenai/ai2 arc Dataset:huggingfacefw/finepdfs... Dataset:huggingfacefw/finephra... Dataset:huggingfacefw/fineweb-... Dataset:huggingfacefw/finewiki Dataset:huggingfacetb/dclm-edu Dataset:huggingfacetb/smollm-c... Dataset:salesforce/wikitext En Gated-deltanet Muon Pytorch Region:us Tiny-lm

Model Card on HF 🤗: https://huggingface.co/dawidkielbasa/qielbas-tiny-9m-m2

Qielbas Tiny 9M M2 Parameters and Internals

LLM Name	Qielbas Tiny 9M M2
Repository 🤗	https://huggingface.co/dawidkielbasa/qielbas-tiny-9m-m2
Model Size	9m
Required VRAM	0 GB
Updated	2026-10-14
Maintainer	dawidkielbasa
Model Files	0.0 GB
Supported Languages	en
Vocabulary Size	4096

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation